Anker Unveils 'Thus' Chip to Enhance AI Capabilities in Headphones
Anker's 'Thus' chip brings AI to its headphones and other products
Engadget
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Anker has introduced its new chip, 'Thus', designed to provide AI capabilities directly on devices like headphones. Set to debut on May 21, the chip integrates processing within memory cells, enabling advanced features such as noise cancellation for clearer calls, even in challenging environments.
- 01Anker's 'Thus' chip enables AI capabilities in small devices like headphones.
- 02The chip will debut at Anker Day on May 21.
- 03Thus integrates processing and storage, enhancing performance and efficiency.
- 04The headphones will feature Clear Calls technology for improved conversation clarity.
- 05Anker plans to extend the use of Thus to other mobile accessories and IoT devices.
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Anker has announced its innovative chip, named 'Thus', which aims to bring AI capabilities to its small, wearable products, starting with a new model of headphones. Set to debut at the Anker Day event on May 21, Thus is touted as the first Compute-in-Memory (CIM) AI audio chip that utilizes neural networks. This technology mimics the human brain by integrating processing and storage in one location, allowing for faster read speeds compared to traditional NAND memory. The compact design of the NOR-based CIM system makes it ideal for devices with limited space, such as headphones. Anker highlights the challenges of implementing AI in headphones due to their small size and low power consumption, yet the potential benefits are significant. One of the key features announced is Clear Calls, which employs a large neural network, eight MEMS microphones, and two bone conduction sensors to enhance call clarity in noisy environments. If successful, the headphones will serve as a strong demonstration of Thus, paving the way for its integration into other mobile accessories and IoT devices.
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The introduction of the 'Thus' chip could significantly improve user experience in headphones, particularly for those who frequently make calls in noisy environments.
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